AI for Emerging Verticals: Human-robot computing, sensing and networking

By specializing in a vertical market, companies can better understand their customers and bring more insight to clients in order to become an integral part of their businesses. This approach requires dedicated tools, which is where artificial intelligence (AI) and machine learning (ML) will play a major role. By adopting AI software and services, businesses can create predictive strategies, enhance their capabilities, better interact with customers, and streamline their business processes.

This edited book explores novel concepts and cutting-edge research and developments towards designing these fully automated advanced digital systems. Fostered by technological advances in artificial intelligence and machine learning, such systems potentially have a wide range of applications in robotics, human computing, sensing and networking. The chapters focus on models and theoretical approaches to guarantee automation in large multi-scale implementations of AI and ML systems; protocol designs to ensure AI systems meet key requirements for future services such as latency; and optimisation algorithms to leverage the trusted distributed and efficient complex architectures.

The book is of interest to researchers, scientists, and engineers working in the fields of ICTs, networking, AI, ML, signal processing, HCI, robotics and sensing. It could also be used as supplementary material for courses on AI, machine and deep learning, ICTs, networking signal processing, robotics and sensing.

Muhammad Zeeshan Shakir is an associate professor at the School of Computing, Engineering and Physical Sciences, University of the West of Scotland, Paisley, Scotland, United Kingdom. He is an expert in networks, Internet of Things and machine-learning/artificial intelligence. He has won over £1.5m research funding for the UK/EU and international projects and has published over 150 research articles. He is a senior member of IEEE Communications Society and IEEE, a fellow of Higher Education Academy, and a chair of the IEEE ComSoc emerging technologies initiative on backhaul/fronthaul communications.

Naeem Ramzan is a full professor and director of the Affective and Human Computing for Smart Environment Research Centre at the University of the West of Scotland, Paisley, Scotland, United Kingdom. He has published nearly 200 highly cited publications and lead major national/EU/KTP projects worth over £10m. He is a senior member of the IEEE, a senior fellow of Higher Education Academy, a co-chair of MPEG HEVC verification (AHG5) group and a voting member of the British Standard Institution.